NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.

Log message:
py-numpy: updated to 1.16.0
NumPy 1.16.0 Release Notes
This NumPy release is the last one to support Python 2.7 and will be maintained
as a long term release with bug fixes until 2020. Support for Python 3.4 been
dropped, the supported Python versions are 2.7 and 3.5-3.7. The wheels on PyPI
are linked with OpenBLAS v0.3.4+, which should fix the known threading issues
found in previous OpenBLAS versions.
Downstream developers building this release should use Cython >= 0.29 and, if
using OpenBLAS, OpenBLAS > v0.3.4.
This release has seen a lot of refactoring and features many bug fixes, improved
code organization, and better cross platform compatibility. Not all of these
improvements will be visible to users, but they should help make maintenance
easier going forward.

Log message:
py-numpy: updated to 1.15.4
NumPy 1.15.4:
This is a bugfix release for bugs and regressions reported following the 1.15.3
release. The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.

Log message:
py-numpy: updated to 1.15.3
NumPy 1.15.3:
This is a bugfix release for bugs and regressions reported following the 1.15.2
release. The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.

Log message:
py-numpy: updated to 1.15.2
NumPy 1.15.2:
This is a bugfix release for bugs and regressions reported following the 1.15.1
release.
* The matrix PendingDeprecationWarning is now suppressed in pytest 3.8.
* The new cached allocations machinery has been fixed to be thread safe.
* The boolean indexing of subclasses now works correctly.
* A small memory leak in PyArray_AdaptFlexibleDType has been fixed.
The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.

Log message:
py-numpy: updated to 1.15.1
NumPy 1.15.1:
This is a bugfix release for bugs and regressions reported following the 1.15.0
release.
* The annoying but harmless RuntimeWarning that "numpy.dtype size \
changed" has
been suppressed. The long standing suppression was lost in the transition to
pytest.
* The update to Cython 0.28.3 exposed a problematic use of a gcc attribute used
to prefer code size over speed in module initialization, possibly resulting in
incorrect compiled code. This has been fixed in latest Cython but has been
disabled here for safety.
* Support for big-endian and ARMv8 architectures has been improved.
The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.